Senior Technical Program Manager

About HP At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. If you’re looking to join a company that allows you to connect with a network of professionals eager to support you in doing your best work, we want to talk to you. Our legendary culture guides every employee toward success—fostering collaboration and driving innovation. Operating in over 170 countries, HP is always creating new services, products, and capabilities giving you more opportunities to advance your career. Here, innovation is the key to professional development and career mobility. When you join HP, you’re joining a company that believes every voice matters and that we all deserve a seat at the table. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves. You will be part of a global laboratory where different perspectives and experiences will help you solve problems in new ways. This is where you can build a long and wide-ranging career. The Commercial Systems Software Engineering organization is developing next-generation Agentic AI software platforms that enable intelligent, secure, and scalable AI experiences across client, edge, and cloud environments. We are seeking an experienced Senior Technical Program Manager to join our Program Management Office and drive planning, governance, execution, and cross-functional coordination for the Execution Intelligence Foundation. This team is responsible for delivering the foundational orchestration, runtime, resource-governance, memory-management, and execution-intelligence capabilities that enable AI workloads and agents to operate efficiently across heterogeneous computing environments. The role will partner closely with software architects, AI engineers, systems engineers, platform teams, operating-system partners, silicon providers, and product organizations to coordinate delivery of frameworks, platform services, orchestration layers, runtime capabilities, resource-governance mechanisms, memory-management technologies, and execution-intelligence capabilities used across multiple AI initiatives. The successful candidate must have experience managing large-scale software platform programs and possess sufficient technical depth to engage with architects and engineering leaders on AI platforms, systems software, resource management, orchestration technologies, and platform infrastructure. Executive communication, cross-organizational leadership, and dependency management are critical for success. Responsibilities Strategy, Planning & Execution • Translate Execution Intelligence Foundation strategy and platform architecture into integrated roadmaps, milestones, program plans, and measurable business outcomes. • Drive execution of foundational AI platform capabilities spanning orchestration services, execution frameworks, runtime systems, workload-governance technologies, memory-management capabilities, model-selection frameworks, and execution-intelligence services. • Coordinate activities across architecture, software engineering, quality engineering, DevOps, infrastructure, product management, and partner organizations. • Establish program objectives, ownership models, dependencies, readiness criteria, resource plans, and success metrics. • Ensure Execution Intelligence Foundation investments align with long-term AI platform strategy and business priorities. • Drive predictable delivery of shared platform capabilities consumed by multiple product and engineering teams. Architecture & Foundation Alignment • Partner closely with architecture leaders to maintain alignment between technical strategy and engineering execution. • Coordinate architecture reviews, design reviews, dependency-management forums, execution reviews, and planning activities. • Drive resolution of conflicting priorities, overlapping functionality, architectural dependencies, and execution risks. • Ensure common platform services, frameworks, APIs, and runtime capabilities evolve consistently across organizations. • Facilitate collaboration across software, AI, platform, infrastructure, and systems-engineering teams. • Support governance mechanisms that maximize platform reuse, scalability, and long-term maintainability. Execution Intelligence Portfolio Coordination • Coordinate initiatives involving workload orchestration, execution policies, resource governance, memory management, runtime frameworks, model-selection strategies, and agent-execution capabilities. • Manage dependencies associated with operating systems, hardware platforms, AI runtimes, silicon roadmaps, drivers, SDKs, and platform services. • Support validation, integration, deployment, and readiness activities across multiple workstreams. • Partner with internal and external stakeholders to align roadmap priorities and technology investments. • Coordinate proof-of-concept efforts, technology evaluations, and innovation initiatives supporting future platform evolution. Risk, Dependency & Operational Management • Identify and manage technical, organizational, partner, schedule, and integration risks. • Track dependencies spanning software, hardware, runtimes, AI services, platform frameworks, operating systems, and ecosystem partners. • Drive mitigation planning and issue resolution before delivery milestones are impacted. • Establish decision-tracking, action-item management, escalation processes, and operational-review mechanisms. • Maintain visibility into overall program health and execution readiness. Executive Reporting & Governance • Create executive-ready dashboards, scorecards, program reviews, architecture updates, risk assessments, and decision-support materials. • Present milestone status, technical progress, strategic risks, dependencies, recommendations, and key decisions to senior leadership. • Translate highly technical plat